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If Impala was built with --build_shared_libs, some thirdparty libraries were still statically linked; this could cause runtime errors if the libraries were also linked into a .so. This patch fixes that issue (for gflags, glog and protobuf at least) by ensuring that build_shared_libs is respected for those libraries. * Standardize thirdparty library handling w/CMake by adding IMPALA_ADD_THIRDPARTY_LIB. This creates a symbolic name for each library, allowing us to switch the underlying library files (e.g. change from static to dynamic linking) without having to individually change the link clauses for each target. * Remove most cases of add_library() from cmake_modules/* - that is all handled by IMPALA_ADD_THIRDPARTY_LIB. * Add shared library detection for a couple of thirdparty dependencies (many only detect static libraries), just to prove the concept. * All thirdparty libraries now print a standard set of messages. For example: -- ----------> Adding thirdparty library protoc. <---------- -- Header files: /data/henry/src/cloudera/impala-toolchain/protobuf-2.6.1/include -- Added shared library dependency protoc: /data/henry/src/cloudera/impala-toolchain/protobuf-2.6.1/lib/libprotoc.so -- ----------> Adding thirdparty library libev. <---------- -- Header files: /data/henry/src/cloudera/impala-toolchain/libev-4.20/include -- Added shared library dependency libev: /data/henry/src/cloudera/impala-toolchain/libev-4.20/lib/libev.so * Some libraries don't quite fit this pattern (LLVM and Boost) - leave them as is for now. * Remove FindOpenSSL.cmake - the toolchain one is more modern. Change-Id: Ib7a6bc5610aaf2450f91348d94cfb984c6a4b78d Reviewed-on: http://gerrit.cloudera.org:8080/7418 Tested-by: Impala Public Jenkins Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Welcome to Impala
Lightning-fast, distributed SQL queries for petabytes of data stored in Apache Hadoop clusters.
Impala is a modern, massively-distributed, massively-parallel, C++ query engine that lets you analyze, transform and combine data from a variety of data sources:
- Best of breed performance and scalability.
- Support for data stored in HDFS, Apache HBase and Amazon S3.
- Wide analytic SQL support, including window functions and subqueries.
- On-the-fly code generation using LLVM to generate CPU-efficient code tailored specifically to each individual query.
- Support for the most commonly-used Hadoop file formats, including the Apache Parquet (incubating) project.
- Apache-licensed, 100% open source.
More about Impala
To learn more about Impala as a business user, or to try Impala live or in a VM, please visit the Impala homepage.
If you are interested in contributing to Impala as a developer, or learning more about Impala's internals and architecture, visit the Impala wiki.
Supported Platforms
Impala only supports Linux at the moment.
Build Instructions
See bin/bootstrap_build.sh.
Export Control Notice
This distribution uses cryptographic software and may be subject to export controls. Please refer to EXPORT_CONTROL.md for more information.